The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-21"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "22949234 (up from 22678483 yesterday: 1.19 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "799245 (up from 793698 yesterday: 0.7 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5349398

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.48



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5622540 48693 0.87 1060502 175363 1108 0.64 3.12
Brazil 3532330 30355 0.87 869845 113358 1054 0.94 3.21
India 2975701 69876 2.40 1279713 55794 945 1.72 1.87
Russia 944671 4838 0.51 106210 16148 90 0.56 1.71
South Africa 603338 3398 0.57 110155 12843 225 1.78 2.13
Peru 567059 8639 1.55 159567 27034 200 0.75 4.77
Mexico 549734 5928 1.09 125097 59610 504 0.85 10.84
Colombia 522138 8419 1.64 226630 16568 385 2.38 3.17
Chile 393769 1920 0.49 38102 10723 52 0.49 2.72
Spain 386054 8148 2.16 97532 28838 25 0.09 7.47
Iran 354764 2206 0.63 50560 20376 112 0.55 5.74
Argentina 329043 8159 2.54 137741 6730 213 3.27 2.05
United Kingdom 325263 1060 0.33 20470 41491 2 0.00 12.76
Saudi Arabia 305186 1213 0.40 29281 3580 32 0.90 1.17
Pakistan 291588 630 0.22 13283 6219 10 0.16 2.13
Bangladesh 290360 2401 0.83 52699 3861 39 1.02 1.33
France 271960 15426 6.01 46763 30508 74 0.24 11.22
Italy 257065 947 0.37 9528 35427 9 0.03 13.78
Turkey 255723 1203 0.47 24850 6080 22 0.36 2.38
Germany 233029 1737 0.75 22630 9266 3 0.03 3.98
Iraq 197085 4288 2.22 72476 6283 75 1.21 3.19
Philippines 182365 4343 2.44 89011 2940 57 1.98 1.61
Indonesia 149408 2197 1.49 41032 6500 82 1.28 4.35
Canada 126319 694 0.55 8038 9110 13 0.14 7.21
Qatar 116481 257 0.22 5786 193 0 0.00 0.17
Bolivia 107435 1370 1.29 30646 4366 61 1.42 4.06
Ecuador 106481 973 0.92 21126 6248 48 0.77 5.87
Kazakhstan 104313 242 0.23 13946 1415 0 0.00 1.36
Ukraine 102948 2138 2.12 31544 2248 23 1.03 2.18
Israel 100716 1117 1.12 29746 809 14 1.76 0.80
Egypt 97148 123 0.13 3070 5231 19 0.36 5.38
Dominican Republic 89867 857 0.96 20218 1533 28 1.86 1.71
China 89616 49 0.05 1961 4709 0 0.00 5.25
Sweden 86068 258 0.30 5646 5810 5 0.09 6.75
Panama 84392 537 0.64 19136 1859 15 0.81 2.20
Oman 83769 0 0.00 4610 609 0 0.00 0.73
Belgium 80894 716 0.89 12143 9985 9 0.09 12.34
Kuwait 79269 502 0.64 12312 511 2 0.39 0.64
Romania 76355 1392 1.86 25469 3196 42 1.33 4.19
Belarus 70111 161 0.23 2303 632 5 0.80 0.90
Netherlands 67456 613 0.92 12866 6219 4 0.06 9.22
Guatemala 66941 958 1.45 17152 2532 26 1.04 3.78
United Arab Emirates 66193 391 0.59 5687 370 1 0.27 0.56
Japan 60949 1049 1.75 24715 1175 18 1.56 1.93
Poland 60281 903 1.52 14593 1938 13 0.68 3.21
Singapore 56216 117 0.21 4011 27 0 0.00 0.05
Portugal 55211 219 0.40 4139 1792 4 0.22 3.25
Honduras 53381 562 1.06 11367 1632 13 0.80 3.06
Nigeria 51304 340 0.67 8153 996 4 0.40 1.94
Morocco 49247 1609 3.38 24925 817 42 5.42 1.66
Bahrain 48661 358 0.74 7679 181 2 1.12 0.37
Ghana 43325 65 0.15 7824 261 0 0.00 0.60
Kyrgyzstan 42703 196 0.46 6898 1055 -443 -29.57 2.47
Armenia 42477 158 0.37 3927 842 6 0.72 1.98
Algeria 40667 409 1.02 10273 1418 7 0.50 3.49
Switzerland 39332 306 0.78 4100 2000 2 0.10 5.08
Venezuela 38219 652 1.74 19645 317 6 1.93 0.83
Uzbekistan 38074 527 1.40 14065 260 8 3.17 0.68
Afghanistan 37894 38 0.10 1219 1385 0 0.00 3.65
Ethiopia 37665 1829 5.10 20135 637 17 2.74 1.69
Azerbaijan 34921 162 0.47 3043 512 2 0.39 1.47
Moldova 32484 547 1.71 7751 929 8 0.87 2.86
Costa Rica 32134 1059 3.41 14314 340 7 2.10 1.06
Kenya 31763 322 1.02 11127 532 16 3.10 1.67
Nepal 30483 838 2.83 10712 137 11 8.73 0.45
Serbia 30378 169 0.56 4826 692 3 0.44 2.28
Ireland 27755 79 0.29 1690 1776 0 0.00 6.40
Austria 24762 331 1.35 3632 730 1 0.14 2.95
Australia 24602 195 0.80 7322 485 13 2.75 1.97
El Salvador 24200 236 0.98 7568 646 6 0.94 2.67
Czechia 21551 506 2.40 4977 411 5 1.23 1.91
Cameroon 18762 0 0.00 1507 408 0 0.00 2.17
West Bank and Gaza 18313 324 1.80 6476 122 2 1.67 0.67
Bosnia and Herzegovina 17396 367 2.16 5520 526 11 2.14 3.02
Cote d’Ivoire 17310 61 0.35 1263 112 0 0.00 0.65
Korea, South 17002 332 1.99 2666 309 0 0.00 1.82
Denmark 16525 72 0.44 2497 621 0 0.00 3.76
Bulgaria 15131 169 1.13 3441 539 7 1.32 3.56
Madagascar 14218 64 0.45 3350 178 1 0.56 1.25
North Macedonia 13308 114 0.86 2554 557 3 0.54 4.19
Senegal 12689 130 1.04 2457 262 1 0.38 2.06
Sudan 12623 41 0.33 979 812 0 0.00 6.43
Paraguay 12536 719 6.08 7198 182 12 7.06 1.45
Kosovo 12168 623 5.40 4064 448 58 14.87 3.68
Lebanon 11580 628 5.73 7025 116 3 2.65 1.00
Zambia 10627 255 2.46 4664 277 3 1.09 2.61
Norway 10275 78 0.76 1035 264 0 0.00 2.57
Libya 10121 414 4.26 6500 180 7 4.05 1.78

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 658900 6633 1.02 158344 11946 136 1.15 1.81 16675.85 302.34 1 in 60
Florida 593286 4684 0.80 122900 10168 119 1.18 1.71 27623.30 473.42 1 in 36
Texas 585632 5740 0.99 147339 11418 244 2.18 1.95 20197.08 393.78 1 in 50
New York 428512 709 0.17 13498 32864 3 0.01 7.67 22027.43 1689.36 1 in 45
Georgia 249630 2889 1.17 63278 4998 94 1.92 2.00 23511.35 470.74 1 in 43
Illinois 217345 2293 1.07 37230 8066 22 0.27 3.71 17151.84 636.53 1 in 58
Arizona 196899 619 0.32 22889 4688 4 0.09 2.38 25857.09 615.64 1 in 39
New Jersey 188817 290 0.15 7157 15941 9 0.06 8.44 21257.93 1794.72 1 in 47
North Carolina 151910 2006 1.34 29612 2494 29 1.18 1.64 14484.06 237.79 1 in 69
Louisiana 141720 899 0.64 25440 4687 50 1.08 3.31 30485.33 1008.22 1 in 33
Tennessee 140844 1669 1.20 34885 1549 61 4.10 1.10 20611.80 226.69 1 in 49
Pennsylvania 132417 725 0.55 15630 7537 17 0.23 5.69 10343.47 588.74 1 in 97
Massachusetts 125216 488 0.39 7604 8901 13 0.15 7.11 18017.98 1280.81 1 in 56
Alabama 113632 1183 1.05 25909 1996 22 1.11 1.76 23175.14 407.08 1 in 43
Ohio 113046 1043 0.93 21887 3955 26 0.66 3.50 9671.06 338.35 1 in 103
Virginia 110857 978 0.89 20969 2436 9 0.37 2.20 12987.73 285.40 1 in 77
South Carolina 110378 1058 0.97 21362 2459 58 2.42 2.23 21437.97 477.59 1 in 47
Michigan 104618 0 0.00 14044 6634 0 0.00 6.34 10475.57 664.27 1 in 95
Maryland 102899 670 0.66 14553 3674 5 0.14 3.57 17020.25 607.71 1 in 59
Indiana 84317 1040 1.25 18163 3208 17 0.53 3.80 12524.40 476.51 1 in 80
Mississippi 76323 874 1.16 17576 2214 24 1.10 2.90 25644.89 743.91 1 in 39
Missouri 73623 1270 1.76 23007 1445 3 0.21 1.96 11995.74 235.44 1 in 83
Washington 69779 390 0.56 13976 1850 13 0.71 2.65 9163.49 242.94 1 in 109
Wisconsin 69059 826 1.21 16119 1068 1 0.09 1.55 11860.85 183.43 1 in 84
Minnesota 68133 825 1.23 13670 1799 8 0.45 2.64 12081.11 318.99 1 in 83
Nevada 64433 849 1.34 16345 1185 13 1.11 1.84 20918.75 384.72 1 in 48
Arkansas 55652 887 1.62 13141 663 22 3.43 1.19 18441.10 219.69 1 in 54
Iowa 55331 798 1.46 10578 1029 13 1.28 1.86 17537.17 326.14 1 in 57
Colorado 54211 0 0.00 7420 1903 0 0.00 3.51 9413.70 330.45 1 in 106
Oklahoma 51746 1077 2.13 15259 715 6 0.85 1.38 13077.17 180.69 1 in 76
Connecticut 51519 87 0.17 1709 4460 2 0.04 8.66 14450.17 1250.95 1 in 69
Utah 48445 463 0.96 8249 383 2 0.52 0.79 15110.93 119.47 1 in 66
Kentucky 42265 639 1.54 12114 864 8 0.93 2.04 9460.18 193.39 1 in 106
Kansas 36895 988 2.75 9531 426 7 1.67 1.15 12664.27 146.23 1 in 79
Nebraska 31626 278 0.89 5415 376 3 0.80 1.19 16349.19 194.37 1 in 61
Idaho 29364 254 0.87 8648 305 9 3.04 1.04 16385.57 170.19 1 in 61
Puerto Rico 28846 703 2.50 12065 374 7 1.91 1.30 9032.17 117.11 1 in 111
Oregon 24421 256 1.06 5929 414 2 0.49 1.70 5790.07 98.16 1 in 173
New Mexico 24095 144 0.60 3495 739 5 0.68 3.07 11491.16 352.44 1 in 87
Rhode Island 21022 151 0.72 2000 1030 2 0.19 4.90 19844.04 972.28 1 in 50
Delaware 16770 52 0.31 1982 600 5 0.84 3.58 17221.83 616.17 1 in 58
District of Columbia 13469 60 0.45 1412 602 1 0.17 4.47 19084.69 852.99 1 in 52
South Dakota 10884 193 1.81 2120 159 2 1.27 1.46 12303.05 179.73 1 in 81
North Dakota 9474 232 2.51 3005 132 2 1.54 1.39 12432.06 173.21 1 in 80
West Virginia 9077 90 1.00 2498 171 4 2.40 1.88 5079.04 95.68 1 in 197
New Hampshire 7071 21 0.30 488 428 0 0.00 6.05 5200.37 314.77 1 in 192
Montana 6216 144 2.37 2251 89 0 0.00 1.43 5815.99 83.27 1 in 172
Hawaii 6072 228 3.90 3961 46 1 2.22 0.76 4288.52 32.49 1 in 233
Alaska 4588 68 1.50 1598 30 1 3.45 0.65 6271.66 41.01 1 in 159
Maine 4286 33 0.78 374 129 1 0.78 3.01 3188.49 95.97 1 in 314
Wyoming 3524 67 1.94 798 37 3 8.82 1.05 6088.89 63.93 1 in 164
Vermont 1541 4 0.26 127 58 0 0.00 3.76 2469.59 92.95 1 in 405

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 10329372 658900 6.38 2518331 158344 6.29 261422.2
2 Florida 4367212 593286 13.59 739124 122900 16.63 203336.7
3 Texas 4580026 585632 12.79 910274 147339 16.19 157954.4
4 New York 7452267 428512 5.75 1563030 13498 0.86 383079.8
5 Georgia 2120102 249630 11.77 545415 63278 11.60 199681.4
6 Illinois 3594336 217345 6.05 893487 37230 4.17 283648.0
7 Arizona 1127988 196899 17.46 194245 22889 11.78 148129.2
8 New Jersey 2615692 188817 7.22 519363 7157 1.38 294487.3
9 North Carolina 2030885 151910 7.48 273783 29612 10.82 193637.4
10 Louisiana 1738807 141720 8.15 396564 25440 6.42 374034.0
11 Tennessee 1981238 140844 7.11 467833 34885 7.46 289944.0
12 Pennsylvania 1527142 132417 8.67 310270 15630 5.04 119289.4
13 Massachusetts 1545337 125216 8.10 356907 7604 2.13 222366.5
14 Alabama 897100 113632 12.67 207633 25909 12.48 182962.7
15 Ohio 1936895 113046 5.84 468561 21887 4.67 165701.0
16 Virginia 1441961 110857 7.69 331214 20969 6.33 168936.5
17 South Carolina 903181 110378 12.22 210346 21362 10.16 175418.8
18 Michigan 2425702 104618 4.31 581255 14044 2.42 242889.4
19 Maryland 1204267 102899 8.54 293076 14553 4.97 199194.6
20 Indiana 958432 84317 8.80 211049 18163 8.61 142365.0
21 Mississippi 529802 76323 14.41 75297 17576 23.34 178016.0
22 Missouri 896106 73623 8.22 209333 23007 10.99 146006.8
23 Washington 1019496 69779 6.84 45842 13976 30.49 133881.9
24 Wisconsin 1176789 69059 5.87 237706 16119 6.78 202112.9
25 Minnesota 1041537 68133 6.54 207183 13670 6.60 184681.7
26 Nevada 566311 64433 11.38 96408 16345 16.95 183857.9
27 Arkansas 658591 55652 8.45 155122 13141 8.47 218233.7
28 Iowa 573139 55331 9.65 98727 10578 10.71 181656.5
29 Colorado 906693 54211 5.98 380347 7420 1.95 157446.5
30 Oklahoma 800902 51746 6.46 175324 15259 8.70 202402.8
31 Connecticut 1022370 51519 5.04 228374 1709 0.75 286756.7
32 Utah 619397 48445 7.82 90487 8249 9.12 193201.8
33 Kentucky 748467 42265 5.65 160644 12114 7.54 167529.5
34 Kansas 366315 36895 10.07 73808 9531 12.91 125738.2
35 Nebraska 333767 31626 9.48 62811 5415 8.62 172542.2
36 Idaho 233780 29364 12.56 54670 8648 15.82 130452.9
38 Oregon 511321 24421 4.78 107128 5929 5.53 121231.1
39 New Mexico 694824 24095 3.47 143187 3495 2.44 331368.9
40 Rhode Island 454977 21022 4.62 248961 2000 0.80 429482.5
41 Delaware 218008 16770 7.69 36961 1982 5.36 223881.8
42 District of Columbia 259058 13469 5.20 70317 1412 2.01 367068.2
43 South Dakota 133775 10884 8.14 22140 2120 9.58 151216.5
44 North Dakota 187012 9474 5.07 33048 3005 9.09 245402.6
45 West Virginia 384319 9077 2.36 100331 2498 2.49 215046.1
46 New Hampshire 189682 7071 3.73 31373 488 1.56 139501.7
47 Montana 208627 6216 2.98 38657 2251 5.82 195201.4
48 Hawaii 168672 6072 3.60 47304 3961 8.37 119129.4
49 Alaska 321535 4588 1.43 88429 1598 1.81 439528.7
50 Maine 223865 4286 1.91 56698 374 0.66 166540.0
51 Wyoming 64837 3524 5.44 11538 798 6.92 112027.6
52 Vermont 116998 1541 1.32 22630 127 0.56 187500.1

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 657450 0 0.00 470873 71.62 164562 21698 0 0.00 3.30
Tamil Nadu 367430 0 0.00 307677 83.74 53413 6340 0 0.00 1.73
Andhra Pradesh 334940 0 0.00 244045 72.86 87803 3092 0 0.00 0.92
Karnataka 264546 0 0.00 176942 66.89 83066 4522 0 0.00 1.71
Uttar Pradesh 177239 0 0.00 126657 71.46 47785 2797 0 0.00 1.58
Delhi 158604 0 0.00 142908 90.10 11426 4270 0 0.00 2.69
West Bengal 132364 0 0.00 101871 76.96 27804 2689 0 0.00 2.03
Bihar 117671 0 0.00 91841 78.05 25241 588 0 0.00 0.50
Telangana 99391 -2474 -2.43 76967 77.44 21687 737 -7 -0.94 0.74
Assam 87909 0 0.00 65597 74.62 22082 227 0 0.00 0.26
Gujarat 84466 0 0.00 67377 79.77 14222 2867 0 0.00 3.39
Odisha 72718 0 0.00 50504 69.45 21771 443 0 0.00 0.61
Rajasthan 67954 0 0.00 52496 77.25 14525 933 0 0.00 1.37
Kerala 54182 0 0.00 35243 65.05 18675 204 0 0.00 0.38
Haryana 52129 0 0.00 43413 83.28 8131 585 0 0.00 1.12
Madhya Pradesh 50640 0 0.00 38527 76.08 10928 1185 0 0.00 2.34
Punjab 39327 0 0.00 23893 60.75 14443 991 0 0.00 2.52
Jammu and Kashmir 31371 0 0.00 23805 75.88 6973 593 0 0.00 1.89
Jharkhand 28196 0 0.00 18372 65.16 9527 297 0 0.00 1.05
Chhattisgarh 19510 0 0.00 12022 61.62 7308 180 0 0.00 0.92
Uttarakhand 14083 0 0.00 9676 68.71 4164 192 0 0.00 1.36
Goa 13484 0 0.00 9540 70.75 3809 135 0 0.00 1.00
Puducherry 9594 0 0.00 5934 61.85 3517 143 0 0.00 1.49
Tripura 8106 0 0.00 5651 69.71 2368 69 0 0.00 0.85
Manipur 5049 0 0.00 3261 64.59 1768 20 0 0.00 0.40
Himachal Pradesh 4728 0 0.00 3234 68.40 1421 24 0 0.00 0.51
Nagaland 3619 0 0.00 2074 57.31 1531 7 0 0.00 0.19
Arunachal Pradesh 3126 0 0.00 2125 67.98 996 5 0 0.00 0.16
Andaman and Nicobar Islands 2747 0 0.00 1744 63.49 971 32 0 0.00 1.16
Chandigarh 2631 0 0.00 1426 54.20 1170 33 0 0.00 1.25
Ladakh 2133 0 0.00 1449 67.93 665 19 0 0.00 0.89
Dadra and Nagar Haveli and Daman and Diu 2083 0 0.00 1652 79.31 411 2 0 0.00 0.10
Meghalaya 1718 0 0.00 749 43.60 963 6 0 0.00 0.35
Sikkim 1336 0 0.00 834 62.43 499 3 0 0.00 0.22
Mizoram 895 -8 -0.89 420 46.93 475 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1456936 97892 174 0.18 6.72 149 17 5494 16852 17.21
Piemonte 552333 32260 39 0.12 5.84 85 4 1001 4142 12.84
Emilia-Romagna 811229 30708 82 0.27 3.79 77 8 1861 4455 14.51
Veneto 1429206 21650 116 0.54 1.51 42 6 1865 2102 9.71
Toscana 487880 11063 79 0.72 2.27 28 5 878 1139 10.30
Liguria 219770 10583 21 0.20 4.82 19 1 365 1571 14.84
Lazio 480482 9548 137 1.46 1.99 248 6 1666 873 9.14
Marche 190441 7095 17 0.24 3.73 13 1 232 987 13.91
Campania 375083 5523 67 1.23 1.47 66 2 735 440 7.97
P.A. Trento 175169 5016 4 0.08 2.86 3 1 41 405 8.07
Puglia 279245 4970 35 0.71 1.78 61 4 419 555 11.17
Sicilia 321981 3919 44 1.14 1.22 45 8 828 286 7.30
Abruzzo 145369 3604 23 0.64 2.48 30 1 289 472 13.10
Friuli Venezia Giulia 299230 3583 36 1.01 1.20 9 2 243 348 9.71
P.A. Bolzano 127013 2837 5 0.18 2.23 8 1 141 292 10.29
Sardegna 122296 1609 42 2.68 1.32 13 0 213 134 8.33
Umbria 139407 1602 22 1.39 1.15 10 1 124 80 4.99
Calabria 142386 1379 2 0.15 0.97 11 1 153 97 7.03
Valle d’Aosta 23832 1221 0 0.00 5.12 1 0 11 146 11.96
Molise 30886 509 2 0.39 1.65 1 0 56 23 4.52
Basilicata 52418 494 0 0.00 0.94 0 0 63 28 5.67

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61495 93 0.15 5733 3 0.05 9.32 7202.78 671.49 1 in 139
Ontario 43126 143 0.33 2841 3 0.11 6.59 2931.38 193.11 1 in 341
Alberta 12748 247 1.98 230 3 1.32 1.80 2888.64 52.12 1 in 346
British Columbia 4915 170 3.58 202 4 2.02 4.11 961.67 39.52 1 in 1040
Saskatchewan 1595 5 0.31 22 0 0.00 1.38 1349.79 18.62 1 in 741
Nova Scotia 1077 0 0.00 64 0 0.00 5.94 1101.84 65.48 1 in 908
Manitoba 830 34 4.27 12 0 0.00 1.45 602.53 8.71 1 in 1660
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 188 2 1.08 2 0 0.00 1.06 241.03 2.56 1 in 4149
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4631 75 1.62
Guangdong 1725 8 0.46
Zhejiang 1277 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shanghai 875 7 0.80
Shandong 830 7 0.84
Jiangsu 665 0 0.00
Sichuan 628 3 0.48
Chongqing 583 6 1.03
Fujian 371 1 0.27
Shaanxi 360 3 0.83
Hebei 354 6 1.69
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 216 3 1.39
Shanxi 201 0 0.00
Yunnan 195 2 1.03
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 17183.80 535.95 1 in 58
Brazil 16876.88 541.61 1 in 59
India 2222.33 41.67 1 in 450
Russia 6537.52 111.75 1 in 153
South Africa 10637.13 226.43 1 in 94
Peru 17626.95 840.35 1 in 57
Mexico 4254.91 461.38 1 in 235
Colombia 10640.68 337.64 1 in 94
Chile 21815.46 594.07 1 in 46
Spain 8273.77 618.05 1 in 121
Iran 4371.17 251.06 1 in 229
Argentina 7432.64 152.02 1 in 135
United Kingdom 4895.59 624.49 1 in 204
Saudi Arabia 9264.91 108.68 1 in 108
Pakistan 1480.14 31.57 1 in 676
Bangladesh NA NA 1 in NA
France 4059.71 455.41 1 in 246
Italy 4250.41 585.76 1 in 235
Turkey 3164.50 75.24 1 in 316
Germany 2814.70 111.92 1 in 355

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 231574 23641 10.21
Los Angeles California 229054 5491 2.40
Miami-Dade Florida 150305 2219 1.48
Maricopa Arizona 131166 2743 2.09
Cook Illinois 119644 4997 4.18
Harris Texas 96658 1978 2.05
Broward Florida 68542 1068 1.56
Dallas Texas 67486 868 1.29
Clark Nevada 55521 1015 1.83
Riverside California 49482 927 1.87
Orange California 45308 882 1.95
Bexar Texas 44814 981 2.19
Suffolk New York 44400 2000 4.50
Nassau New York 44162 2195 4.97
San Bernardino California 43943 629 1.43
Palm Beach Florida 40157 1048 2.61
Tarrant Texas 37210 547 1.47
Westchester New York 36621 1449 3.96
San Diego California 35912 652 1.82
Hillsborough Florida 35293 519 1.47
Orange Florida 34321 358 1.04
Philadelphia Pennsylvania 32791 1735 5.29
Wayne Michigan 29622 2852 9.63
Kern California 27378 229 0.84
Travis Texas 25559 353 1.38
Shelby Tennessee 25427 360 1.42
Duval Florida 25316 235 0.93
Prince George’s Maryland 25197 773 3.07
Middlesex Massachusetts 24671 2038 8.26
Hidalgo Texas 23993 1071 4.46
Mecklenburg North Carolina 23809 269 1.13
Fulton Georgia 23375 486 2.08
Milwaukee Wisconsin 22960 475 2.07
Gwinnett Georgia 22786 302 1.33
Davidson Tennessee 22617 245 1.08
Fresno California 22535 208 0.92
Salt Lake Utah 22483 222 0.99
Suffolk Massachusetts 21576 1092 5.06
Bergen New Jersey 21282 2032 9.55
Hennepin Minnesota 21270 862 4.05
Franklin Ohio 20316 551 2.71
Pima Arizona 20173 534 2.65
Essex New Jersey 20052 2112 10.53
Hudson New Jersey 19989 1510 7.55
Montgomery Maryland 19325 814 4.21
Pinellas Florida 19247 591 3.07
El Paso Texas 19177 387 2.02
Cameron Texas 18874 629 3.33
Fairfield Connecticut 18434 1411 7.65
King Washington 18334 710 3.87
Middlesex New Jersey 18219 1419 7.79
Passaic New Jersey 18085 1246 6.89
Nueces Texas 17854 306 1.71
Lee Florida 17816 397 2.23
Essex Massachusetts 17550 1210 6.89
St. Louis Missouri 17517 710 4.05
Fairfax Virginia 17419 539 3.09
Marion Indiana 17200 743 4.32
Union New Jersey 16947 1352 7.98
Oakland Michigan 16885 1146 6.79
Alameda California 16469 237 1.44
Out of GA Georgia 16461 109 0.66
Providence Rhode Island 16142 0 0.00
Polk Florida 16015 399 2.49
Jefferson Louisiana 16006 537 3.35
San Joaquin California 15778 295 1.87
DeKalb Georgia 15731 272 1.73
Cobb Georgia 15687 358 2.28
Santa Clara California 15496 222 1.43
Sacramento California 15246 234 1.53
Cuyahoga Ohio 14774 552 3.74
Jefferson Alabama 14538 279 1.92
Baltimore Maryland 14471 584 4.04
Rockland New York 14106 674 4.78
Baltimore City Maryland 13804 449 3.25
Fort Bend Texas 13794 211 1.53
Lake Illinois 13741 455 3.31
DuPage Illinois 13530 529 3.91
District of Columbia District of Columbia 13469 602 4.47
New Haven Connecticut 13442 1111 8.27
Wake North Carolina 13362 188 1.41
East Baton Rouge Louisiana 13226 395 2.99
Worcester Massachusetts 13182 1034 7.84
Charleston South Carolina 13156 221 1.68
Stanislaus California 13120 226 1.72
Tulare California 13022 208 1.60
Hartford Connecticut 13002 1422 10.94
Douglas Nebraska 12498 148 1.18
Oklahoma Oklahoma 12328 139 1.13
Contra Costa California 12108 161 1.33
Tulsa Oklahoma 12095 123 1.02
Yuma Arizona 12009 299 2.49
Macomb Michigan 11674 958 8.21
Polk Iowa 11546 214 1.85
Greenville South Carolina 11482 243 2.12
Mobile Alabama 11442 237 2.07
Orange New York 11316 493 4.36
Collier Florida 11144 162 1.45
Orleans Louisiana 11134 569 5.11
Ocean New Jersey 10857 1025 9.44

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc